CN103076034B - System and method for power plant based on state pick up calibration - Google Patents
System and method for power plant based on state pick up calibration Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
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Abstract
Embodiments of the invention can provide the system and method for power plant based on state pick up calibration.According to one embodiment of present invention, using the teaching of the invention it is possible to provide a kind of system.This system can include computer processor.This system can also include operable with store computer executable instructions memorizer, computer executable instructions operable with: from one or more power plants sensor receive data；Mediation is the error of detection in the data from one or more power plants sensor；The one or more power plants sensor that calibrates for error detected in being based, at least in part, on data；It is at least partially based at least one performance model of data genaration of the mediation from one or more power plants sensor；In at least one performance model, detection is abnormal；And it is abnormal to consider to adjust at least one performance model.
Description
Technical field
Embodiments of the invention relate generally to power plant, more particularly, to the system and method for power plant based on state pick up calibration.
Background technology
Pick up calibration is the customary activity in power plant, to guarantee that the reliable of power plant controls and operation.Traditional calibration plan is fixed by other maintenance project or determines.No matter sensor is actually the need of calibration, and sensor all checks according to plan and corrects.On the other hand, need the sensor carrying out calibrating until plan next time all checks and calibrates.
Summary of the invention
Some or all in above-mentioned needs and/or problem can be solved by certain embodiments of the present invention.Disclosed embodiment can include the system and method for power plant based on state pick up calibration.According to one embodiment of present invention, a kind of method for power plant based on state pick up calibration is disclosed.The method can include: receives data from one or more power plants sensor；Mediation is the error of detection in the data from one or more power plants sensor；The one or more power plants sensor that calibrates for error detected in being based, at least in part, on data；It is at least partially based at least one performance model of data genaration of the mediation from one or more power plants sensor；In at least one performance model, detection is abnormal；And it is abnormal to consider to adjust this at least one performance model.
According to another embodiment of the invention, a kind of system for power plant based on state pick up calibration is disclosed.This system can include computer processor.This system can also include with computer processor communication and operable with store computer executable instructions memorizer, computer executable instructions operable with: from one or more power plants sensor receive data；Mediation is the error of detection in the data from one or more power plants sensor；The one or more power plants sensor that calibrates for error detected in being based, at least in part, on data；It is at least partially based at least one performance model of data genaration of the mediation from one or more power plants sensor；In at least one performance model, detection is abnormal；And it is abnormal to consider to adjust this at least one performance model.
Additionally, according to another embodiment of the invention, a kind of system for power plant based on state pick up calibration is disclosed.This system can include one or more power plants sensor.This system can also include computer processor.Additionally, this system can include and computer processor communication and operable with storage power plant data and the memorizer of computer executable instructions, computer executable instructions operable with: receive data from one or more power plants sensor；Mediation is the error of detection in the data from one or more power plants sensor；The one or more power plants sensor that calibrates for error detected in being based, at least in part, on data；It is at least partially based at least one performance model of data genaration of the mediation from one or more power plants sensor；In at least one performance model, detection is abnormal；And it is abnormal to consider to adjust this at least one performance model.
To those skilled in the art, by detailed description below, accompanying drawing and claims, other embodiments of the invention, aspect and feature will become clear from.
Accompanying drawing explanation
Referring now to accompanying drawing, accompanying drawing is not necessarily drawn to scale, wherein:
Fig. 1 shows according to an embodiment of the invention, for realizing the schematic diagram of the details of the exemplary dataflow of power plant based on state pick up calibration；
Fig. 2 shows the schematic diagram of the details of example system according to an embodiment of the invention, and it includes the block diagram of the computer environment for performing power plant based on state pick up calibration；
Fig. 3 shows according to an embodiment of the invention, for determining the figure of time dependent sensor performance that prover time is spaced；
Fig. 4 shows according to an embodiment of the invention, for performing the flow chart of the details of the illustrative methods of power plant based on state pick up calibration.
Detailed description of the invention
Now with reference to the illustrative examples of the accompanying drawing present invention discussed more fully below, some but the not every embodiment of the present invention shown in the drawings.The present invention can realize by multiple different form, and should not be interpreted as limited to the embodiment here illustrated；On the contrary, it is provided that these embodiments, so that the disclosure will meet the legal requiremnt being suitable for.In in the whole text, identical numeral refers to identical parts.
Among others, the exemplary embodiment of the present invention is absorbed in the system and method for power plant based on state pick up calibration.Some exemplary embodiment of the present invention can be absorbed in: receives data from one or more power plants sensor；Mediation is the error of detection in the data from one or more power plants sensor；The one or more power plants sensor that calibrates for error detected in being based, at least in part, on data；It is at least partially based at least one performance model of data genaration of the mediation from one or more power plants sensor；In at least one performance model, detection is abnormal；And adjust at least one performance model described to consider described exception.
In one embodiment, the error of detection in the data from one or more power plants sensor that is in harmonious proportion can be to be at least partially based on the calibration history and at least one data base of trend accessed for one or more power plants sensor.In the data from one or more power plants sensor, the error of detection can be to be at least partially based on sensor drift.In some embodiments it is possible to the error of detection determines the optimum prover time interval for one or more power plants sensor in being based, at least in part, on data.
In another embodiment, at least one data base of the abnormal results of property that can be the power plant being at least partially based on access known performance model or reality of detection at least one performance model described.The exception of the detection at least one performance model can be to be at least partially based on equipment performance to degenerate.
Certain embodiments of the present invention can provide a kind of technical scheme to calibrate power plant sensor, more specifically, promote detection with performance model abnormality detection to be in harmonious proportion by data and distinguish equipment performance and degenerate and sensor drift.Comprehensively the making of the mediation of sensor error and performance model abnormality detection can identify it is the problem of real performance degradation or sensor when exception being detected.Additionally, certain embodiments of the present invention can reduce pick up calibration frequency by only calibrating those sensors needing calibration.
Fig. 1 shows the schematic diagram of the details of the exemplary dataflow 100 for realizing power plant based on state pick up calibration.In data stream 100, one or more power plants sensor 102 monitors the various assemblies in power plant.In one embodiment, one or more power plants sensor 102 can transmit the data of the various parts about power plant to power plant control system 104 and power plant historian (historian) 106.
In some embodiments it is possible to analyze from the data of one or more power plants sensor 102 reception to obtain error.Can be at least partially based at least one data base 116 of the calibration history and trend that access one or more power plants sensor 102 be in harmonious proportion 108 in the data from one or more power plants sensor 102 errors of detection, that is, the data from the reception of one or more power plants sensor 102 can be to detect error compared with the calibration history of storage one or more power plants sensor 102 in database 116 and trend.In certain embodiments, in the data from one or more power plants sensor 102, the error of detection can be to be at least partially based on sensor drift.
As previously described, in some embodiment of data stream 100, can be in harmonious proportion 108 in the data from one or more power plants sensor 102 detection errors, mean such as, if one or more power plants sensor 102 is in the data of the conflict providing the assembly about power plant, then when calculating such as performance model, it is based at least partially on calibration history and the trend of storage one or more power plants sensor 102 in database 116, it is known that the one or more power plants sensor 102 being more reliable can be endowed bigger weight.
In certain embodiments, the data 108 that at least one performance model 110 can be at least partially based on from the mediation of one or more power plants sensor 102 generate.As discussed above, it is possible to mediation is the random error of detection in the data received from one or more power plants sensor 102.The data 108 being in harmonious proportion provide consistent input data, are used for producing at least one performance model 110.At least one performance model 110 is used as an entirety and is modeled power plant performance or is modeled the performance of the single component in power plant.
In certain embodiments, at least one performance model 110 is analyzed abnormal 112.Such as, detection exception 112 at least one performance model 110 can be to be at least partially based at least one data base 116 of the results of property accessing known performance model or actual power factory.Then, can be by least one performance model 110 compared with the known performance model stored in database 116 or the actual results of property sending out power plant, with detection abnormal 112.In at least one performance model 110, the exception 112 of detection can be to be at least partially based on the performance degradation of device.
In certain embodiments, be based, at least in part, in data detect and be in harmonious proportion 108 error calibrate 118 one or more power plants sensors.Such as, when error being detected in the data received from one or more power plants sensor 102 as discussed above, calibration request 114 can be generated.Then can provide and notify 120 to calibrate 118 one or more power plants sensors 102, to consider sensor drift.Similar with this, when detecting abnormal at least one performance model 110 as discussed above, adjustment request 114 can be produced.Then, it is possible to provide notify 120 to adjust at least one performance model 110 to consider that power plant equipment is degenerated.Additionally, in certain embodiments, when detecting abnormal at least one performance model 110, it is possible to generate pick up calibration request 14, to guarantee that this exception is result rather than the problem of sensor of real performance degradation.
Fig. 2 provides exemplary general view according to an embodiment of the invention, to include a system calculating device 200.Calculate device 200 and be configurable to be able to carry out any suitable calculating device of disclosed feature and adjoint method, such as, but not limited to those described by Fig. 2.By way of example and not limitation, suitably calculate device and can include can storing and perform all or part of personal computer (PC) of disclosed feature, server, server zone, data center or other device any.
In an exemplary configuration, calculate device 200 and include at least one memorizer 202 and one or more processing unit (or processor (one or more)) 204.Processor 204 can suitably be realized by hardware, software, firmware or combinations thereof.The software of processor (one or more) 204 or firmware realize including that the computer write with any suitable programming language is executable or the executable instruction of machine performs the various functions that describe.
Memorizer 202 can store the programmed instruction that can be loaded into processor (one or more) 204 and can perform on processor 204, and the data generated during the execution of these programs.Configuration according to calculating device 200 and type, memorizer 202 can be volatibility (such as random-access memory (ram)) and/or non-volatile (such as read only memory (ROM), flash memory etc.).Calculate device or server may also comprise additional removable storage 206 and/or irremovable storage 208, include but not limited to magnetic storage, CD and/or tape storage.The computer-readable medium of disc driver and association thereof can provide computer-readable instruction, data structure, program module and for calculating the non-volatile memories of other data of device.In some implementations, memorizer 202 can include the memorizer of number of different types, such as static RAM (SRAM), dynamic random access memory (DRAM) or ROM.
Memorizer 202, removable storage 206 and irremovable storage 208 are all the examples of computer-readable recording medium.Such as, computer-readable recording medium can include volatibility and medium non-volatile, removable and immovable, and this medium is in any method or technology realizes the information for storing such as computer-readable instruction, data structure, program module or other data etc.Memorizer 202, removable storage 206 and irremovable storage 208 are all the examples of computer-readable storage medium.The computer-readable storage medium of the addition type that can exist includes but not limited to: random access memory able to programme (PRAM), SRAM, DRAM, RAM, ROM, Electrically Erasable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic holder, tape, disk storage or other magnetic memory apparatus, maybe can be used for other medium any storing required information and can being accessed by server or other calculating device.Above any combination also should be included within the scope of computer-readable medium.
Alternatively, computer-readable communication media can include computer-readable instruction, program module or other data transmitted in the data signal of such as carrier wave or other transmission etc.
Calculate device 200 and can also comprise the communication connection (one or more) 210 allowing the calculating device 200 data base, another calculating device or server, user terminal and/or other device with storage on network 230 to communicate.Calculate device 200 and can also include the input equipment (one or more) 212 of such as keyboard, mouse, pen, speech input device, touch input device etc., and the output device 214 of such as display, speaker, printer etc..
Turning to the content of more detailed memorizer 202, memorizer 202 can include operating system 216 and for implementing one or more application programs or the service (including sensor assembly 218) of features herein disclosed.Sensor assembly 218 can be configured to receive data from one or more power plants sensor 234.It addition, the data received from one or more power plants sensor 234 can be stored in memorizer 202 by sensor assembly 218.The example of the data received by sensor assembly 218 can include the measurement of the various assemblies in power plant 232.Such as, sensor assembly 218 can receive data from one or more power plants sensor 234 of the monitoring turbine in power plant 232, pump, heat exchanger and/or other assembly.Such as, in certain embodiments, collected data or the data otherwise received from one or more power plants sensor 234 can include but not limited to one or more: the various fluids in power plant 232 and the temperature of metal；The various fluids comprised in the system and subsystem in power plant 232 and the pressure of equipment；And/or the flow velocity of the various fluids in the system and subsystem in power plant 232.
Memorizer 202 can farther include mediation module 220.The module 220 that is in harmonious proportion is configurable to mediation error of detection in the data from one or more power plants sensor 234.Additionally, the data of mediation can be stored in memorizer 202 by mediation module 220.The module 220 that is in harmonious proportion promotes the concordance of data by making random error minimize before generating performance model discussed below.Such as, the error of detection in the data from one or more power plants sensor 234 that is in harmonious proportion can be to be at least partially based on the calibration history and at least one data base 236 of trend accessed for one or more power plants sensor 234.Then, can be by the data that receive from one or more power plants sensor 234 compared with the calibration history of one or more power plants sensor 234 and trend, to detect error.Then, the module 220 that is in harmonious proportion can ignore receive, the data of index error from one or more power plants sensor 234, or gives its less weight.In the data from one or more power plants sensor 234, the error of detection can be to be at least partially based on sensor drift.
Memorizer 202 can also include calibration module 226.The error that calibration module 226 detects in being configurable to be based, at least in part, on the data being in harmonious proportion in module 220 is to calibrate one or more power plants sensor 234.As discussed below, calibration module 226 can be additionally configured to calibrate when exception being detected in performance model abnormal module 224 one or more power plants sensor 234, to guarantee that this exception is result rather than the problem of sensor of real performance degradation.Calibration module 226 can be further configured to remote calibration one or more power plant sensor 234, or for want one or more sensors 234 of manual calibration to send alarm or work order.In certain embodiments, such as, the error that calibration module detects within can be configured as being based, at least in part, on the data being in harmonious proportion in module 220 is maintenance or the prover time interval that one or more power plants sensor 234 determines optimum.
Memorizer 202 can also include performance model module 222.Performance model module 222 can be configured to be at least partially based on the reconciled data from the one or more power plants sensor 234 being in harmonious proportion in module 220 and generates at least one performance model.As discussed above, the module 220 that is in harmonious proportion makes the random error of the data since the reception of one or more power plants sensor 234 minimize.The module 220 that is in harmonious proportion provides consistent input data to generate at least one performance model.This at least one performance model is used to be modeled power plant performance as an entirety, or is modeled the performance of the single component in power plant.
Memorizer 202 can also include abnormal module 224.Abnormal module 224 can be configured to detection exception within least one performance model.Additionally, abnormal module 224 can store the exception detected in memorizer 202.Such as, at least one data base 236 of the abnormal results of property that can be the power plant being at least partially based on the known performance model of access or reality of detection at least one performance model.Then, can be abnormal to detect by least one performance model compared with the results of property in known performance model or the power plant of reality.In at least one performance model, the exception of detection can be to be at least partially based on the performance degradation of device.Utilize these information, can be that power plant equipment that is that degenerate or that break down determines that the maintenance of optimum or prover time are spaced.
Memorizer 202 can also include adjusting module 228.Adjusting module 228 is configurable to for adjusting at least one performance model abnormal to consider.In certain embodiments, the exception at least one performance model can be to be at least partially based on power plant equipment to degenerate.Therefore, it is possible to adjust or regulate at least one performance model to consider that power plant equipment is degenerated.
Memorizer 202 can also include rule engine module 238.Rule engine module 238 can be configured to supply the system-level application of entirety.System-level application can link data stream/information, executing rule and manage the notice/alarm about one or more sensors and/or performance model.
Various instruction described herein, method and technology can consider in the general context of the computer executable instructions of the program module such as performed by one or more computers or other device etc.It is said that in general, program module includes for performing particular task or realizing the routine of particular abstract data type, program, object, assembly and data structure etc..These program modules etc. maybe can be downloaded as native code execution and such as perform to perform in environment at virtual machine or other Just-In-Time.Typically, the functional of program module can combine as expectation in various embodiments or be distributed.The realization of these modules and technology can be stored in some form of computer-readable recording medium.
Exemplary computing devices 200 shown in Fig. 2 provides the most in an illustrative manner.Other operating environments many, system architecture and device configuration are possible.Therefore, embodiment of the disclosure that should not be construed as limited to any specific operating environment, system architecture or device configures.
Referring still to Fig. 2, by way of example, calculate device 200 to communicate with power plant 232 via network 230.Power plant 232 can include that one or more sensor 234 or other unit or device are monitored, detect and/or transmitted about power plant entirety or the data of the single assembly in power plant.Some exemplary embodiment of the present invention can be absorbed in calculating device 200, and this calculating device 200 determines performance degradation and/or one or more power plants sensor drift of power plant implementation by data mediation and abnormality detection.
In some embodiment previously described, the error detected in can being based, at least in part, on data is that one or more power plants sensor determines optimal prover time interval.Fig. 3 shows Figure 30 0 of the calibration history of one or more power plants sensor.The y-axis 302 of Figure 30 0 represents error margin.X-axis 304 express time of Figure 30 0.Horizontal line 306 above is upper error margin, and horizontal line 308 below is lower error margin.310 calibration results of one or more power plants sensors are drawn in Figure 30 0.Use Figure 30 0, it is possible to the performance of analyte sensors.Particularly, such as, sensor drift when and with what kind of frequency can be monitored beyond error margin by analyte sensors.If additionally, a specific sensor is included in the data outside error margin, then when being in harmonious proportion the error in the data received by one or more power plants sensor, this sensor can be out in the cold or be endowed less weight.
Fig. 4 is to illustrate the example flow diagram of method 400 according to an embodiment of the invention, for power plant based on state pick up calibration.In one embodiment, the exemplary one or more modules calculating device 200 and/or exemplary calculating device 200 of Fig. 2 are either individually still applied in combination the operation that can carry out described method 400.
In this specifically realizes, method 400 can start at the frame 402 of Fig. 4, and method 400 can include receiving data from one or more power plants sensor wherein.Additionally, at frame 404, method 400 can include mediation error of detection in the data from one or more power plants sensor.At frame 406, one or more power plants sensor that calibrates for error that method 400 detects in can including being based, at least in part, on data.At frame 408, method 400 can include at least one performance model of data genaration being at least partially based on the mediation from one or more power plants sensor.At frame 410, method 400 can include detection exception at least one performance model.At frame 412, it is abnormal to consider that method 400 can include adjusting at least one performance model.Additionally, at frame 414, method 400 can include that the error being based, at least in part, in data detection is the prover time interval that one or more power plants sensor determines optimum.
Exemplary system and method is illustrated for power plant based on state pick up calibration.Some or all of these system and methods can (but not essential) be realized by such as above those shown in fig. 2 frameworks at least in part.
Although so that the language that the action of architectural feature and/or methodology is special is described embodiment, it should be appreciated that the disclosure is not necessarily limited to special characteristic or the action described.On the contrary, specific feature and action are as realizing disclosed in the exemplary form of embodiment.
Claims (20)
1. a method for power plant based on state pick up calibration, including:
Data are received from one or more power plants sensor；
It is in harmonious proportion in the error of detection in the described data of the one or more power plant sensor；
Calibrate for error described in detecting in being based, at least in part, on described data the one or more power plant sensor；
It is at least partially based at least one performance model of the data genaration being in harmonious proportion from the one or more power plant sensor, and
And described mediation includes base at least in part in the error of detection in the described data of the one or more power plant sensor
In calibration history and the trend of the one or more power plants sensor being stored in data base, give and be known which are more reliable one
Or the weight that multiple power plants sensor is bigger；
In at least one performance model described, detection is abnormal；And
Adjust at least one performance model described to consider described exception.
Method the most according to claim 1, wherein, is in harmonious proportion at the described number from the one or more power plant sensor
It is to be at least partially based on the calibration history and trend accessed for the one or more power plant sensor according to the error of interior detection
At least one data base.
Method the most according to claim 1, wherein, at least one performance model described, detection is abnormal is at least part of base
At least one data base in the results of property in the power plant accessing known performance model or reality.
Method the most according to claim 1, wherein, the exception detected at least one performance model described is at least
It is based partially on equipment performance to degenerate.
Method the most according to claim 1, wherein, in the described data of the one or more power plant sensor
The described error of detection is to be at least partially based on sensor drift.
Method the most according to claim 1, also includes:
The described error detected in being based, at least in part, on described data determines the optimum for the one or more power plant sensor
Prover time is spaced.
Method the most according to claim 1, wherein, the described data received from the one or more power plant sensor are
From power plant control system or factory's history module.
8. for a system for power plant based on state pick up calibration, including:
Computer processor；And
Memorizer, itself and described computer processor communication are the most operable to store computer executable instructions, and described computer can perform
Instruct operable with:
Data are received from one or more power plants sensor；
It is in harmonious proportion in the error of detection in the described data of the one or more power plant sensor；
Calibrate for error described in detecting in being based, at least in part, on described data the one or more power plant sensor；
It is at least partially based at least one performance model of the data genaration being in harmonious proportion from the one or more power plant sensor, and
And described mediation includes base at least in part in the error of detection in the described data of the one or more power plant sensor
In calibration history and the trend of the one or more power plants sensor being stored in data base, give and be known which are more reliable one
Or the weight that multiple power plants sensor is bigger；
In at least one performance model described, detection is abnormal；And
Adjust at least one performance model described to consider described exception.
System the most according to claim 8, wherein, is in harmonious proportion at the described number from the one or more power plant sensor
It is to be at least partially based on the calibration history and trend accessed for the one or more power plant sensor according to the error of interior detection
At least one data base.
System the most according to claim 8, wherein, at least one performance model described, detection is abnormal is at least part of base
At least one data base in the results of property in the power plant accessing known performance model or reality.
11. systems according to claim 8, wherein, the exception detected at least one performance model described is at least
It is based partially on equipment performance to degenerate.
12. systems according to claim 8, wherein, in the described data of the one or more power plant sensor
The described error of detection is to be at least partially based on sensor drift.
13. systems according to claim 8, wherein, described computer executable instructions can operate further, with at least partly
The optimum prover time for the one or more power plant sensor is determined based on the described error of detection in described data
Interval.
14. systems according to claim 8, wherein, the described data received from the one or more power plant sensor are
From power plant control system or factory's history module.
15. 1 kinds of systems for power plant based on state pick up calibration, including:
One or more power plants sensor；
Computer processor；And
Memorizer, itself and described computer processor communication are the most operable to store computer executable instructions, computer executable instructions
Operable with:
Data are received from the one or more power plant sensor；
It is in harmonious proportion in the error of detection in the described data of the one or more power plant sensor；
Calibrate for error described in detecting in being based, at least in part, on described data the one or more power plant sensor；
It is at least partially based at least one performance model of the data genaration being in harmonious proportion from the one or more power plant sensor, and
And described mediation includes base at least in part in the error of detection in the described data of the one or more power plant sensor
In calibration history and the trend of the one or more power plants sensor being stored in data base, give and be known which are more reliable one
Or the weight that multiple power plants sensor is bigger；
In at least one performance model described, detection is abnormal；And
Adjust at least one performance model described to consider described exception.
16. systems according to claim 15, wherein, are in harmonious proportion from described in the one or more power plant sensor
In data, the error of detection is to be at least partially based on the calibration history and trend accessed for the one or more power plant sensor
At least one data base.
17. systems according to claim 15, wherein, at least one performance model described, detection is abnormal is at least part of
At least one data base of results of property based on the power plant accessing known performance model or reality.
18. systems according to claim 15, wherein, the exception detected at least one performance model described be to
It is at least partly based on equipment performance to degenerate.
19. systems according to claim 15, wherein, in the described data from the one or more power plant sensor
The described error of interior detection is to be at least partially based on sensor drift.
20. systems according to claim 15, wherein, described computer executable instructions can operate further, with at least portion
Point based on the described error of detection in described data determine for the optimum calibration of the one or more power plant sensor time
Between be spaced.
Applications Claiming Priority (2)
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|---|---|---|---|
| US13/245486 | 2011-09-26 | ||
| US13/245,486 US8892382B2 (en) | 2011-09-26 | 2011-09-26 | Systems and methods for condition-based power plant sensor calibration |
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| CN103076034A CN103076034A (en) | 2013-05-01 |
| CN103076034B true CN103076034B (en) | 2016-08-24 |
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| FI128841B (en) * | 2018-03-22 | 2021-01-15 | Univ Helsinki | Sensor calibration |
| JP6737311B2 (en) * | 2018-07-30 | 2020-08-05 | 横河電機株式会社 | Verification program, recording medium, verification device, verification method |
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2011
- 2011-09-26 US US13/245,486 patent/US8892382B2/en active Active
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2012
- 2012-09-17 EP EP12184621.6A patent/EP2573638A3/en not_active Withdrawn
- 2012-09-25 CN CN201210359224.2A patent/CN103076034B/en not_active Expired - Fee Related
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1685294A (en) * | 2002-09-26 | 2005-10-19 | 西门子公司 | Method and device for monitoring a technical installation comprising several systems, in particular an electric power station |
| CN101858826A (en) * | 2009-04-09 | 2010-10-13 | 通用电气公司 | Be used to monitor the system and method for the health of turbine engine |
Also Published As
| Publication number | Publication date |
|---|---|
| EP2573638A3 (en) | 2017-06-07 |
| US20130080100A1 (en) | 2013-03-28 |
| EP2573638A2 (en) | 2013-03-27 |
| CN103076034A (en) | 2013-05-01 |
| US8892382B2 (en) | 2014-11-18 |
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